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A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds

Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau
2015 Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing - HPDC '15  
To address those complexity issues, we propose a declarative optimization engine named Deco for resource provisioning of scientific workflows in IaaS clouds.  ...  Resource provisioning for scientific workflows in Infrastructure-asa-service (IaaS) clouds is an important and complicated problem for budget and performance optimizations of workflows.  ...  The authors would like to thank anonymous reviewers for their valuable comments. We acknowledge the support from the  ... 
doi:10.1145/2749246.2749251 dblp:conf/hpdc/ZhouHCL15 fatcat:sqp464z7ffcqnddczg4zk52tc4

Simplified Resource Provisioning for Workflows in IaaS Clouds

Amelie Chi Zhou, Bingsheng He
2014 2014 IEEE 6th International Conference on Cloud Computing Technology and Science  
To address those issues, we propose a flexible and effective optimization system to simplify the resource provisioning for scientific workflows in IaaS clouds.  ...  Resource provisioning is an important and complicated problem for scientific workflows in Infrastructure-asa-service (IaaS) clouds.  ...  Resource provisioning is one important problem for the monetary cost and performance optimizations of scientific workflows in IaaS clouds.  ... 
doi:10.1109/cloudcom.2014.129 dblp:conf/cloudcom/ZhouH14 fatcat:ai42uqx4a5hgbkf35pytf5f5qa

Elastic Scheduling of Scientific Workflows under Deadline Constraints in Cloud Computing Environments

Nazia Anwar, Huifang Deng
2018 Future Internet  
and dynamically provisioned cloud resources called VMs in order to attain the proposed method's objectives.  ...  Scientific workflow scheduling in cloud computing is a challenging research topic due to its distinctive features.  ...  workflows using dynamic provisioning of resources in a single cloud environment.  ... 
doi:10.3390/fi10010005 fatcat:6nwnv352hfdn3hcbifodthux54

Enhanced Resource Provisioning Strategies for Scientific Workflows in Cloud Environment: A Survey

S. Sridevi, Jeevaa Katiravan
2018 International Journal of Computer Applications  
The on-demand provisioning and resource availability in cloud computing make it ideal for executing scientific workflow applications. To ensure better performance, there is a need for auto-scaling.  ...  The problem of assigning resources to tasks and orchestrating their execution to preserve the dependencies of workflows is NP-complete. [2] Hence, no optimal solution can be found in polynomial time.  ...  The IWD is a population based algorithm proposed by Shah-Hosseini in 2007 for solving combinatorial problems. The IWD algorithm mimics the dynamics of river system and the  ... 
doi:10.5120/ijca2018917097 fatcat:sbdiqpmbxvd6njvdg6xwyeu7iu

A Survey on QoS Requirements Based on Particle Swarm Optimization Scheduling Techniques for Workflow Scheduling in Cloud Computing

Mazen Farid, Rohaya Latip, Masnida Hussin, Nor Asilah Wati Abdul Hamid
2020 Symmetry  
This is aimed at assisting users to decide on the most suitable QoS consideration for large workflows in infrastructure as a service (IaaS) cloud applications and mapping tasks to resources.  ...  In cloud computing, a workflow model is used to represent different scientific and web applications.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym12040551 fatcat:uxmk7b6a3bddhcdexjwkymdnwm

Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications [article]

Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
2020 arXiv   pre-print
We implemented the Elastic Budget-constrained resource Provisioning and Scheduling algorithm for Multiple workflows (EBPSM) algorithm that is capable of scheduling multiple workflows and evaluated the  ...  With the increasing trends of scientific workflow adoption, the demand to deploy them using a third-party service begins to increase.  ...  the available VM types and images of the IaaS clouds profile, the Cloud Resource Manager that manages the provisioning of cloud resources, and the VM Lifecycle Manager which keeps tracking the VMs' status  ... 
arXiv:2006.01957v1 fatcat:z5paewg2mrgdxnkqvcsvu3gzmu

Multi-cloud provisioning of business processes

Kyriakos Kritikos, Chrysostomos Zeginis, Joaquin Iranzo, Roman Sosa Gonzalez, Daniel Seybold, Frank Griesinger, Jörg Domaschka
2019 Journal of Cloud Computing: Advances, Systems and Applications  
The Cloud offers enhanced flexibility in the management of resources for any kind of application while it promises the reduction of its cost as well as its infinite scalability.  ...  In this respect, this article presents a novel architecture of an environment which realises the vision of multi-Cloud BP provisioning.  ...  JI and RSG contributed to "Workflow engine" and "SLA engine" sections as well as the overall architecture of the proposed BP execution environment.  ... 
doi:10.1186/s13677-019-0143-x fatcat:ptarj3ryfncrreny64oddxv33y

A Survey of Data-Intensive Scientific Workflow Management

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2015 Journal of Grid Computing  
Finally, we identify research issues for improving the execution of data-intensive scientific workflows in a multisite cloud.  ...  workflows and exploit the resources distributed in different infrastructures such as grid and cloud.  ...  However, in the rest of this paper, we focus on IaaS, which allows running existing scientific workflows in the cloud.  ... 
doi:10.1007/s10723-015-9329-8 fatcat:5urst5aphjftbli3pukmnbutri

Fault-Tolerant and Data-Intensive Resource Scheduling and Management for Scientific Applications in Cloud Computing

Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala'anzy, Mohamed Othman, Arif Iqbal Umar
2021 Sensors  
Therefore, this research work presents a cluster-based, fault-tolerant and data-intensive (CFD) scheduling for scientific applications in cloud environments.  ...  Cloud computing is a fully fledged, matured and flexible computing paradigm that provides services to scientific and business applications in a subscription-based environment.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21217238 pmid:34770545 pmcid:PMC8587021 fatcat:u53ocebfavfgnog7rwdkwdwz4e

CodeCloud: A platform to enable execution of programming models on the Clouds

Miguel Caballer, Carlos de Alfonso, Germán Moltó, Eloy Romero, Ignacio Blanquer, Andrés García
2014 Journal of Systems and Software  
the logic of the different programming models; iii) an infrastructure manager to interact with different IaaS backends; iv) a configuration software to dynamically configure the provisioned resources  ...  This paper presents a platform that supports the execution of scientific applications covering different programming models (such as Master/Slave, Parallel/MPI, MapReduce and Workflows) on Cloud infrastructures  ...  de aplicaciones virtualizadas para dar soporte a modelos de programación en entornos cloud", with reference TIN2010-17804.  ... 
doi:10.1016/j.jss.2014.02.005 fatcat:xj7vr4jjbjcwzgmojxtn2da7wy

Scheduling Multilevel Deadline-Constrained Scientific Workflows on Clouds Based on Cost Optimization

Maciej Malawski, Kamil Figiela, Marian Bubak, Ewa Deelman, Jarek Nabrzyski
2015 Scientific Programming  
This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace.  ...  We indicate how this model can be used for scenarios that require resource planning for scientific workflows and their ensembles.  ...  Access to Amazon EC2 was provided via the AWS in Education Grant.  ... 
doi:10.1155/2015/680271 fatcat:ep33dzb75na5tpzde2fnxcrgkq

IFFO: An Improved Fruit Fly Optimization Algorithm for Multiple Workflow Scheduling Minimizing Cost and Makespan in Cloud Computing Environments

Ambika Aggarwal, Priti Dimri, Amit Agarwal, Madhushi Verma, Hesham A. Alhumyani, Mehedi Masud, Vijay Kumar
2021 Mathematical Problems in Engineering  
However, multiobjective workflow scheduling with scientific standards to optimize QoS parameters is a challenging task.  ...  This paper proposes an improved Fruit Fly Optimization (IFFO) algorithm to minimize makespan and cost for scheduling multiple workflows in the cloud computing environment.  ...  Conclusion Scientific workflows play a significant role in large-scale cloud-based applications.  ... 
doi:10.1155/2021/5205530 fatcat:t4rlw4byhrbp3odvrkn7g5xxbe

A Federated Multi-cloud PaaS Infrastructure

Fawaz Paraiso, Nicolas Haderer, Philippe Merle, Romain Rouvoy, Lionel Seinturier
2012 2012 IEEE Fifth International Conference on Cloud Computing  
We then show how this multi-cloud PaaS can be deployed on top of thirteen existing IaaS/PaaS.  ...  Cloud platforms are increasingly being used for hosting a broad diversity of services from traditional ecommerce applications to interactive web-based IDEs.  ...  ACKNOWLEDGMENT This work is partially funded by the French Ministry of Higher Education and Research, Nord-Pas de Calais Regional Council and FEDER through the Contrat de Projets Etat Region Campus Intelligence  ... 
doi:10.1109/cloud.2012.79 dblp:conf/IEEEcloud/ParaisoHMRS12 fatcat:uspmhxqcffb23kb4najgrf2nqa

Enabling Cloud Interoperability with COMPSs [chapter]

Fabrizio Marozzo, Francesc Lordan, Roger Rafanell, Daniele Lezzi, Domenico Talia, Rosa M. Badia
2012 Lecture Notes in Computer Science  
The advent of Cloud computing has given to researchers the ability to access resources that satisfy their growing needs, which could not be satisfied by traditional computing resources such as PCs and  ...  The framework has been evaluated through the porting of a data mining workflow to COMPSs and the execution on an hybrid testbed.  ...  This work was also made possible using the computing use grant provided by Microsoft in the VENUS-C project.  ... 
doi:10.1007/978-3-642-32820-6_4 fatcat:3mdsmk3kpzh5rjleqc2tthltri

Two-level Dynamic Workflow Orchestration in the INDIGO DataCloud for Large-scale, Climate Change Data Analytics Experiments

Marcin Płóciennik, Sandro Fiore, Giacinto Donvito, Michał Owsiak, Marco Fargetta, Roberto Barbera, Riccardo Bruno, Emidio Giorgio, Dean N. Williams, Giovanni Aloisio
2016 Procedia Computer Science  
In this paper we present the approach proposed by EU H2020 INDIGO-DataCloud project to orchestrate dynamic workflows over a cloud environment.  ...  The main focus of the project is on the development of open source Platform as a Service solutions targeted at scientific communities, deployable on multiple hardware platforms, and provisioned over hybrid  ...  The core of this component consists of an elastic Mesos [13] cluster with slave nodes dynamically provisioned and distributed on the IaaS sites.  ... 
doi:10.1016/j.procs.2016.05.359 fatcat:5pd4w5up5bhcvgt4bxns3h5jnu
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